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dc.contributor.authorRockett, Rebecca J.en
dc.contributor.authorDraper, Jennyen
dc.contributor.authorGall, Mailieen
dc.contributor.authorSim, Eby M.en
dc.contributor.authorArnott, Aliciaen
dc.contributor.authorAgius, Jessica E.en
dc.contributor.authorJohnson-Mackinnon, Jessicaen
dc.contributor.authorFong, Winkieen
dc.contributor.authorMartinez, Elenaen
dc.contributor.authorDrew, Alexander P.en
dc.contributor.authorLee, Clementen
dc.contributor.authorNgo, Christineen
dc.contributor.authorRamsperger, Marcen
dc.contributor.authorGinn, Andrew N.en
dc.contributor.authorWang, Qinningen
dc.contributor.authorFennell, Michaelen
dc.contributor.authorKo, Dannyen
dc.contributor.authorHueston, Lindaen
dc.contributor.authorKairaitis, Lukasen
dc.contributor.authorHolmes, Edward C.en
dc.contributor.authorO’Sullivan, Matthew N.en
dc.contributor.authorChen, Sharon C.-A.en
dc.contributor.authorKok, Jenen
dc.contributor.authorDwyer, Dominic E.en
dc.contributor.authorSintchenko, Vitalien
dc.date.accessioned2022-07-04T00:45:41Z
dc.date.available2022-07-04T00:45:41Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/2123/28985
dc.description.abstractCo-infections with different variants of SARS-CoV-2 are a key precursor to recombination events that are likely to drive SARS-CoV-2 evolution. Rapid identification of such co-infections is required to determine their frequency in the community, particularly in populations at-risk of severe COVID-19, which have already been identified as incubators for punctuated evolutionary events. However, limited data and tools are currently available to detect and characterise the SARS-CoV-2 co-infections associated with recognised variants of concern. Here we describe co-infection with the SARS-CoV-2 variants of concern Omicron and Delta in two epidemiologically unrelated adult patients with chronic kidney disease requiring maintenance haemodialysis. Both variants were co-circulating in the community at the time of detection. Genomic surveillance based on amplicon- and probe-based sequencing using short- and long-read technologies identified and quantified subpopulations of Delta and Omicron viruses in respiratory samples. These findings highlight the importance of integrated genomic surveillance in vulnerable populations and provide diagnostic pathways to recognise SARS-CoV-2 co-infection using genomic data.en
dc.language.isoenen
dc.rightsOther
dc.subjectCOVID-19en
dc.subjectCoronavirusen
dc.titleCo-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillanceen
dc.typeArticleen
dc.identifier.doi10.1038/s41467-022-30518-x
usyd.facultyFaculty of Science, School of Life and Environmental Sciences
usyd.facultyFaculty of Medicine and Health, School of Medical Sciences


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